Objective To understand the drug resistance situation of clinical common bacteria in hospital.Methods VITEK-2 was adopted to perform the identification and antimicrobial susceptibility test.The drug resistance data were analyzed by adopting the WHONET 5.5 software.Results 13 841 strains of bacteria isolated for the first time from the patient were collected from Jan-uary 2009 to December 2012,in which Gram positive bacteria accounted for 29.3% and Gram negative bacteria accounted for 70.7%.Meticillin-resistant Staphylococcus aureus (MRSA)and meticillin-resistant coagulase-negative staphylococci (MRCNS) accounted for 78.3% and 88.4% of staphylococci aureus and coagulase-negative staphylococci,respectively.No vancomycin and tigecycline resistant strains of staphylococci were found.4.3% of enterococcus faecalis and 7.5% of enterococcus faecium were re-sistant to vancomycin.The detection rates of E.coli and Klebsiella spp (Klebsiella pneumoniae +Klebsiella bacteria producing acid )producing extended spectrum beta-lactamases (ESBLs)were 58.5% and 24.4%,respectively.Enterobacteriaceae strains were still more sensitive to carbapenem antibiotics.The resistance rates of pseudomonas aeruginosa and Acinetobacter spp strains to imipenem were 24.9 % and 42.6%,respectively.Conclusion Bacterial drug resistance still constitutes a serious threat to the clini-cal anti-infection therapy.So the antibacterial agents should be rationally used for reducing the bacterial drug resistance.

Objective To explore the difference in the incidence of deep vein thrombosis (DVT) following total knee arthroplasty (TKA) or total hip arthroplasty (THA) between different seasons.Methods The present retrospective study examined 2 363 patients undergoing TKA or THA from August 2008 to February 2016.There were 653 male and 1 710 female with the average age of 64.44±13.03 years old (17-91 years old),including 954 patients in TKA and 1 409 in THA.All of the patients received anticoagulant drugs and were compressed with a pressure pump starting on the first postoperative night.Routine venography of the bilateral lower limbs was performed at 3-5 days after the operation.The incidence of DVT in different seasons and different age groups (≥65 years old and ＜65 years old) were counted.Results The present study suggested that the probabilities of DVT after arthroplasty in spring,summer,fall and winter were 15.85％ (116/732),14.92％ (71/476),17.88％ (108/604),22.50％ (124/551) respectively with significantly difference (P＜0.05).The incidence of DVT in winter was higher than that in spring and summer (P＜ 0.017).The probabilities of DVT after TKA in spring,summer,fall and winter were 19.09％ (59/309),15.67％ (37/236),18.11％ (44/243),27.71％ (46/166) respectively with significantly difference (P＜0.05).The incidence of DVT in winter was higher than that in summer (P＜0.017).The probabilities of DVT after THA in spring,summer,fall and winter were 13.48％ (57/423),14.17％ (34/240),17.73％ (64/361),20.26％ (78/385) respectively with significantly difference (P＜0.05),and that in winter was higher than in spring (P＜0.017).The symptomatic DVT after arthroplasty in spring,summer,fall and winter were 3.55％ (26/732),3.78％ (18/476),4.97％ (30/604),6.90％ (38/551) with significantly difference in different seasons (P＜0.05),and that in winter was higher than in spring (P＜0.017).The symptomatic DVT after TKA in spring,summer,fall and winter were 3.88％ (12/309),4.24％ (10/236),4.94％ (12/243),9.64％ (16/166) with significantly difference in different seasons (P＜0.05).The symptomatic DVT in winter was higher than that in spring (P＜0.017).The symptomatic DVT after THA in spring,summer,fall and winter were 3.31％ (14/423),3.33％ (8/240),4.99％ (18/361),5.71％ (22/385) respectively (P＞0.05).The probability of DVT following arthroplasty in older patients (age≥65 years old) in spring,summer,fall and winter were 18.49％ (76/411),16.61％ (45/271),22.07％ (81/367),28.05％ (99/353) with significantly difference among the groups (P＜0.05),while symptomatic DVT in older patients (≥65 years old) in spring,summer,fall and winter were 4.38％ (18/411),4.43％ (12/271),5.72％ (21/367),8.78％ (31/353) respectively with significantly difference (P＜0.05).The probability of DVT in four seasons were 12.46％ (40/321),12.68％ (26/205),11.39％ (27/237),12.63％ (25/198) in younger patients (＜65 years old).However,the difference was not detected among different seasons (P＞0.05).The probability of symptomatic DVT in four seasons were 2.49％ (8/321),2.93％ (6/205),3.80％ (9/237),3.54％ (7/198) in younger patients (＜65 years old) without significant difference (P＞0.05).Conclusion Seasonal variations could place an important effect on the incidence of DVT following TKA or THA,especially for the old patients with age ≥65 years.

Objective To analyze the relationship between CT characteristics of chronic subdural hematoma (CSDH) and its recurrence, as well as relevant pathological mechanism. Methods The study involved 178 patients with CSDH who underwent surgery, of whom 38 patients (40 lesions) experienced recurrence of CSDH. Univariate and multivariate logistic analyses were performed to assess the correlation among CT characteristics ( including side, density, width, subtype and midline shift of the hematoma) and CSDH recurrence. Results ( 1 ) The width of hematoma, midline shift, type of hematoma were found to be correlated with the recurrence of CSDH in the univariate analysis. The odds ratio (OR)and 95% confidence interval (CI) value of patients with hematoma width ＞30 mm, midline shift ＞10 mm and the separated type were 18. 400 (2.024-167. 301 ), 4. 643 ( 1. 815-11. 877 ) and 14. 385 (3. 601-57.467 ), respectively. (2) The midline shift and type of hematoma were found to be correlated with the recurrence of CSDH in the multivariate analysis, when the OR and 95% CI value of patients with hematoma midline shift ＞ 10 mm and separated type were 5. 280 ( 1. 339-20. 823) and 19. 125 (4. 175-87.619), the OR and 95% CI value of patients with hematoma width ＞30 mm was 14. 838 ( 1. 353-162.698). Conclusions Type of hematoma and midline shift are found to be independently correlated with the recurrence of CSDH, and the width of hematoma is also related with its recurrence.

Objective This work was to study the distribution of Acinetobacter baumannii and analyze the change in the trend of its resistance,so as to provide experimental basis for clinical rational drug usage.Methods The identification of isolates were car-ried out by using VITEK-2 compact automatic identification system,and drug susceptibility testing was performed by disc diffusion method,the results were carried out according to the Standard of CLSI 2014 version for interpretation,and data analysis was per-formed with WHONET5.6.Results A total of 981 strains of Acinetobacter baumannii had been isolated from the samples in 2013 to 2015,most of them were isolated from respiratory samples accounted for 80.4%,followed by the urines and other body secre-tion.The distribution of this kind of bacteria mostly was 30.1% in ICU,departments of Emergency observation(16.0%),respirato-ry diseases(15.7%)and senior cadres(10.8%).The drug resistance of this kind of bacteria to polymyxin B and cefoperazone/sul-bactam was to a minimum of lower than 5.0%,and has relatively high sensitivity to amikacin and minocycline(<30.0%).And the resistance to other antimicrobials were higher than 30.0%,and the resistance to Nitrofurantoin and cefotaxime were higher than 94.0%.The most drug resistance of Acinetobacter baumannii in 2014 were lower than those in 2013,but the most drug resistance of Acinetobacter baumannii in 2015 were increased significantly as well as strains had been isolated from the samples.Conclusion The main source for isolation of Acinetobacter baumannii in this hospital mainly comes from sputum specimens of patients in ICU, departments of emergency observation,respiratory diseases and senior cadres.The high prevalence of antimicrobial resistance of this kind of bacteria should be prevented and controlled in nosocomial infection,and rational application of antimicrobial agents in order to reduce the spread of drug-resistant strains.

Objective To investigate the role of circulating neutrophil extracellular trap (NET) levels in the postoperative formation of deep vein thrombosis (DVT) in patients undergoing total knee arthroplasty (TKA). Methods Circulating NET levels were measured preoperatively and on postoperative days 1, 3, and 7 in 30 patients diagnosed with DVT by venography after TKA and 30 controls from May 2014 to July 2015. Results In patients with DVT, the mean circulating NET levels were significantly higher on postoperative days 1 and 3 compared with those in the non?DVT group (postoperative day 1, 1.598 ± 0.067 vs. 1.212 ± 0.037, t=7.514, P=0.000;postoperative day 3, 1.305±0.044 vs. 1.167±0.032, t=2.675, P=0.015). ROC curve analysis revealed the inferior sensitivity and specificity of NET levels on postoperative day 3 compared with postoperative day 1. Area under the curve (AUC) postoperative day 1 was 0.828 (95%CI:0.722, 0.933, P=0.000);AUC postoperative day 3 was 0.677 (95%CI:0.541, 0.814, P=0.018). The cutoff point for NET levels on postoperative day 1 was 1.294, with a sensitivity of 80%, a specificity of 80%, a posi?tive predictive value of 80%, and a negative predictive value of 80%. After Logistic regression, the NET level on postoperative day 1 was considered an independent predictor of DVT (OR:24.08, 95%CI:4.94, 117.28, P=0.000). Conclusion High circulating NET levels are associated with DVT in patients who undergo TKA. NETs may serve as a potential biological marker to delineate patients undergoing TKA who are most at risk for DVT.

More and more studies have revealed that the level of serum prostate specific antigen(PSA) has little value for early diagnosis of prostate cancer (PCa). For example, negative prostate biopsies are as high as 70%-80% for patients with serum PSA ranging between 4 ng/mL and 10 ng/mL. However, the negative results cannot exclude the existence of cancer. In the studies of the early diagnosis of PCa, investigators focused on seeking biomarkers that have higher sensitivity and specificity. Recently, PSA derivatives, HPC1, PCA3, TMPRSS2: ETS, GSTP1, AMACR, GOLPH2, EPCA, sarcosine, and the combination of multiple biomarkers are widely discussed. In this article, we have reviewed their recent development and the prospective value of the combination of multiple biomarkers, which may be helpful for the early diagnosis and the prognostic monitoring of patients with PCa.
Antigens, Neoplasm ; metabolism ; Biomarkers, Tumor ; metabolism ; Early Diagnosis ; Endoribonucleases ; metabolism ; Glutathione S-Transferase pi ; metabolism ; Humans ; Male ; Membrane Proteins ; metabolism ; Oncogene Proteins, Fusion ; metabolism ; Prostate-Specific Antigen ; metabolism ; Prostatic Neoplasms ; diagnosis ; metabolism ; Racemases and Epimerases ; metabolism ; Sarcosine ; metabolism

Objective To evaluate the effects of lentivirus-delivered short hairpin RNA (shRNA) targeting human papillomavirus 16 (HPV16) E7 gene on the expression of 4 kinds of DNA methyltransferases (DNMTs),including DNMT1,DNMT3A,DNMT3B and DNMT3L,in HPV16-positive cervical cancer cell line SiHa.Methods The recombinant plasmid containing HPV16 E7 gene-targeting shRNA was constructed firstly.Then,the BLOCK-iTTM lentiviral RNAi expression system kit was used to package the lentiviral vector,which was transfected into 293T cells.The lentivirus-containing supernatants were collected at 48 and 72 hours after transfection.The SiHa cells were divided into 3 groups to be cultured with lentiviral supernatant containing HPV16 E7 gene-targeting shRNA recombinant plasmids mixed with complete medium at a ratio of 1:1 (shRNA group),lentiviral supernatant containing empty plasmids mixed with complete medium at a ratio of 1:1 (negative control group),and complete medium alone (blank control group),respectively.Real-time fluorescence-based quantitative PCR (qRT-PCR) was performed to measure mRNA expression of HPV16 E7 and 4 kinds of DNMTs in the above 3 groups at 0,48,96 hours after infection,and Western blot analysis to determine protein expression of the 4 DNMTs at 48,96 hours after infection.Results There were no significant differences in the mRNA expression of HPV16 E7 and the 4 DNMTs among the shRNA group,negative control group and blank control group at 0 hour after infection (all P ＞ 0.05).At 48,96 hours after infection,the mRNA expression of HPV16 E7 and the 4 DNMTs decreased significantly in the shRNA group compared with the negative control group and blank control group (all P ＜ 0.05),but did not differ between the negative control group and blank control group (all P ＞ 0.05).Additionally,E7,DNMT1,DNMT3A,DNMT3B and DNMT3L gene-silencing efficiencies in the shRNA group were 71.13％,50.53％,13.72％,46.27％ and 17.92％ at 48 hours,and 83.50％,74.2％,47.8％,64.7％ and 48.9％ at 96 hours after infection,respectively.Western blot analysis showed that the protein expression of the 4 DNMTs significantly decreased in the shRNA group compared with the negative control group and blank control group at 48,96 hours after infection (all P ＜ 0.01).Moreover,the protein expression of DNMT1,DNMT3A,DNMT3B and DNMT3L in the shRNA group gradually decreased over time,and was inhibited by 84％,37.2％,59.8％ and 49.3％ at 48 hours respectively,and by 73.1％,68.7％,55.5％ and 65.5％ at 96 hours after infection respectively.Conclusion Targeted silencing of E7 gene in HPV16-positive SiHa cells can interfere with the mRNA and protein expression of DNMT1,DNMT3A,DNMT3B and DNMT3L.

Objective To assess the academic level of papers on systematic reviews and meta-analysis published in Chinese Journal of Pediatricsand methodology they used.Methods Basic data were extracted from 13 papers on sys-tematic reviews and meta-analysis published in Chinese Journal of Pediatrics .The methodology they used was assessed according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) and ANSTAR Scale and analyzed using the RevMan5.0.Results The PRISMA score was 14-23.5 (mean 20.0±3.11) and the AMSTAR score was 3-7.5 (mean 6.04±1.38) for the methodology used in papers on systematic reviews and meta-analysis published in Chinese Journal of Pediatrics .Conclusion The methodology used in papers on systematic reviews and meta-analy-sis published in Chinese Journal of Pediatrics is not quite valid and should thus be improved .

Objective To quantify sjTREC using a modified method in patients who underwent allogeneic hematopoietic stem transplantation (all-HSCT),and determine the level of thymic output function and analyse the influencing factors in post-allo-HSCT patients.Methods Real time quantitative PCR was used to detect sjTREC levels from the peripheral blood DNA of pre-transplantation,14 d,28 d,3 m,6 m,9 m,1 y,1.5 y,2 y,2.5 y,and above 2.5 y after HSCT,and analyse thymic output function and related factors after HSCT.sjTREC levels in 24 normal individuals were also determined to use as the normal range.Results The mean of Log (sjTREC copies/ml) in normal individuals was 3.74±0.26.Negative correlation existed between thte Log sjTREC and the age (r =-0.65,P ＜ 0.01).There was no clear association between the TREC and the gender.Log sjTREC in pre-transplantation patients was 3.09±0.52,and the levels of sjTREC in 14 d,28 d,6 m,1 y after HSCT were 1.18±0.22,2.16±0.31,1.31±0.2,1.83±0.31,respectively.There was no significant difference between normal individuals and patients 1.5 years after HSCT.The post-transplantation level of sjTREC was not related to the age,but was negatively correlated to the acute graft versus host disease (aGVHD) 1 year after HSCT.There was no difference between patients with or without aGVHD 1.5 years post-HSCT.Conclusion The modified method for detecting sjTREC is applicable to allo-HSCT.The recovery of thymic output function after allo-HSCT is slow,in which aGVHD may have a negative effect.

Objective To investigate the antibiotic resistance of clinical isolates from hospital for the guidance of rational use of antibiotics .Methods Automatic VITEK‐2 system was used to identify bacterial strains and analyze the antimicrobial resistance . WHONET 5 .6 was applied for data analysis according to the breakpoints of Clinical and Laboratory Standards Institute 2013 . Results A total of 3 880 nonduplicate strains were collected in 2013 ,35 .2% (1 366/3 880) of which were gram positive organisms ,64 .8% (2 514/3 880) were gram negative bacteria .The top 6 most frequently isolated microorganisms were E . coli (20 .2% ) , K . pneumoniae (12 .0% ) , P . aeruginosa (11 .1% ) , coagulase negative Staphylococcus (9 .8% ) , A . baumannii (9 .8% ) ,E .f aecalis (8 .1% ) .The bacteria were mainly isolated from respiratory tract (51 .0% ) ,urine (26 .2% ) , and blood (9 .4% ) .The prevalence of both meticillin‐resistant Staphylococcus was higher than 72 .0% .No staphylococcal strainwasfoundresistanttolinezolid,vancomycinortigecycline.Amongthe509Enterococcusisolates,E.faecalisandE. f aecium accounted for 61 .5% and 32 .8% ,respectively .No enterococcal strain was resistant to vancomycin or tigecycline . Enterococcal isolates also showed low resistance (<2 .0% ) to teicoplanin and linezolid .About 67 .4% of the E .coli strains and 32 .0% of the K lebsiella isolates produced extended spectrumbeta‐lactamases.Thestrainsof E.coli,Klebsiella spp.,Enterobacterspp.,and Proteusspp.wererelatively susceptible to beta‐lactam/beta‐lactamase inhibitor combinations such as cefoperazone‐sulbactam and piperacillin‐tazobactam , carbapenems such as meropenem ,imipenem and ertapenem ,and amikacin (< 15 .0% of the strains were resistant) . K . pneumoniae isolates were more resistant than other gram‐negative bacilli .P .aeruginosa was relatively susceptible to amikacin , tobramycin ,cefepime ,gentamicin ,piperacillin‐tazobactam ,but more than 20% of these strains were resistant to meropenem and imipenem .More than 35 .0% of the A . baumannii isolates were resistant to any of the antimicrobial agents tested . Conclusions Antimicrobial resistance is still a serious threat in clinical antimicrobial therapy .It is important to promote the rational use of antimicrobial agents so that resistance is minimized . It is necessary to conduct epidemiological survey and proactively implement effective interventions in the clinical setting with relatively heavy burden of antimicrobial resistance .